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Measuring the Impact of Nonignorable Missingness Using the R Package isni
BACKGROUND AND OBJECTIVE: The popular assumption of ignorability simplifies analyses with incomplete data, but if it is not satisfied, results may be incorrect. Therefore it is necessary to assess the sensitivity of empirical findings to this assumption. We have created a user-friendly and freely av...
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| Publicado no: | Comput Methods Programs Biomed |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6345389/ https://ncbi.nlm.nih.gov/pubmed/30195428 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2018.06.014 |
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